London: Artificial intelligence (AI) could add £630 billion ($837 billion) to the UK economy by 2035, a government commissioned report said. The economic boost would come from a combination of more personalized services, improvements in health care and adopting machine learning to find ways to use resources more efficiently, according to the report. But to see that gain, the UK needs to do more to encourage businesses to deploy machine learning and artificial intelligence and ensure the UK maintains a leadership position in AI research and development. "We have a choice," the report's authors, Wendy Hall, a professor of computer science at the University of Southampton, and Jerome Pesenti, chief executive officer of health care research startup BenevolentAI, wrote. "The UK could stay among the world leaders in AI in the future, or allow other countries to dominate."

Getty Houses of Parliament in Westminster in London Artificial intelligence could add 630 billion pounds ($837 billion) to the U.K. economy by 2035, a government-commissioned report said. The economic boost would come from a combination of more personalized services, improvements in health care and adopting machine learning to find ways to use resources more efficiently, according to the report. But to see that gain, the U.K. needs to do more to encourage businesses to deploy machine learning and artificial intelligence and ensure the U.K. maintains a leadership position in AI research and development. "We have a choice," the report's authors, Wendy Hall, a professor of computer science at the University of Southampton, and Jerome Pesenti, chief executive officer of health care research startup BenevolentAI, wrote. "The U.K. could stay among the world leaders in AI in the future, or allow other countries to dominate."

GLENN: So I had a friend write to me, just this morning. And he said, Glenn, I was listening to your show yesterday. And he said -- let me see if I have this. You talk about AI killing us all. I know that's a go-to line a lot of tech people take with AI.

Classifiers and rating scores are prone to implicitly codifying biases, which may be present in the training data, against protected classes (i.e., age, gender, or race). So it is important to understand how to design classifiers and scores that prevent discrimination in predictions. This paper develops computationally tractable algorithms for designing accurate but fair support vector machines (SVM's). Our approach imposes a constraint on the covariance matrices conditioned on each protected class, which leads to a nonconvex quadratic constraint in the SVM formulation. We develop iterative algorithms to compute fair linear and kernel SVM's, which solve a sequence of relaxations constructed using a spectral decomposition of the nonconvex constraint. Its effectiveness in achieving high prediction accuracy while ensuring fairness is shown through numerical experiments on several data sets.

A government-sponsored review into the potential impact of artificial intelligence (AI) on the UK economy is urging a comprehensive programme of support for the discipline. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered. You have exceeded the maximum character limit. Please provide a Corporate E-mail Address.

For three years, I've assisted the American Accounting Association in the development of their Accounting IS Big Data show. It's been fascinating to watch accounting professionals and academics change their perspective as the evolution of accounting as new technologies come into view. It's a process of that follows the classic denial, resist and acceptance pattern we see in technology adoption. Here's a recap of what's happened. Attendees at the inaugural show, were in for a shock.

Maria, Marvin, Sonny, David, and Ava are all ordinary-sounding names -- but in film, television, and literature, these seemingly ordinary names belong to extraordinary individuals who, despite their exemplary skills and complex personalities, are not human. Since Brigitte Helm's 1927 portrayal of Maria in Metropolis, audiences have developed an increased love/hate fascination with artificial intelligence. While filmmakers continue to address the controversy regarding the acceptance and cohabitation between humans and their modern creations parallel to real-world technological advancements, just how accurate is this representation in modern film, and have cinematic depictions evolved at all? Early films reflected the heightened fear of technology that developed among the working class during the Industrial Age by depicting metal machines as unstoppable forces of mayhem. This successfully fed into the pre-existing "anti-immigrant" nervous anticipation that technological advancements would go from taking over people's jobs to taking over the world.

Before Hisashi Kanbe in 2013 introduced BakeryScan, the world's first image recognition checkout system designed specifically for bread, it was the job of every bakery worker in Japan to memorize the assorted prices of each baked good -- from baguettes back to bagels. Unlike shrink-wrapped food, whose prices are easy to calculate by scanning barcodes, bread is usually displayed sans packaging because "it sells better that way," said Kanbe, CEO of a Hyogo-based company Brain Co. "But in a store with as many as 100 kinds of bread, it's virtually impossible for inexperienced workers to remember all of their prices." But with BakeryScan, even novices can handle purchases by placing a tray of bread under a scanner, which identifies every item based on shape and color, calculates the prices and displays the total on a screen -- all in just one second, eliminating the need for workers to manually enter prices piece by piece at the cash register. "Many bakery owners say our product has made their job much easier and much more efficient," he said, adding that the system is already used by about 250 bakeries nationwide. BakeryScan could be a game-changer for the nation's service industries, which are struggling with the worst labor shortage in a quarter of a century.

KAMISHIHORO, HOKKAIDO – The town of Kamishihoro, Hokkaido, began testing a driverless bus service on Saturday. The test by the Kamishihoro Municipal Government is designed to study technical issues that may arise on roads that traverse hilly and mountainous terrain in the area. "We hope that driverless bus services will be put to practical use and work to help the mobility of residents," Kamishihoro Mayor Mitsugi Takenaka said during a ceremony to mark the occasion. The test made use of a French-made Navya Arma autonomous bus built by SB Drive Corp., a unit of SoftBank Group Corp. Equipped with eight sensors and GPS, the bus ran at a speed of 10 kph near the municipal government office on a 600-meter road that was closed to traffic for the test. Some 120 residents are expected to try the bus during its three-day test run.

Surgeons are trained to accurately operate on you when you need it, but robotic assistants could help them get to hard-to-reach areas and boost their accuracy even more. Senhance, the robotic surgical assistant that has just earned the FDA's approval, was designed to accomplish both of those. The machine can help surgeons carry out minimally invasive surgery -- in fact, the FDA has approved its use because after a pilot test involving 150 patients, the agency has concluded that Senhance is as accurate as the da Vinci robot when it came to gynecological and colorectal procedures. According to TransEnterix, the company that developed the machine, it's the first surgical assistant for the abdominal area to get the FDA's approval since 2000. The company claims it's also the first one with eye tracking and force feedback.